International Journal of
Innovation, Management and Technology

Editor-In-Chief: Prof. Jin Wang
Frequency: Semi-annual
ISSN: 2010-0248 (Print)
E-mali: editor@ijimt.org
OPEN ACCESS

IJIET 2013 Vol.4(1): 90-92
doi: 10.7763/IJIMT.2013.V4.365

Bearing Fault Analysis Using Frequency Analysis and Wavelet Analysis

Milind Natu

  • Electrical Engineering Department ADCET Ashta.

Abstract

Bearing fault diagnosis is important in condition monitoring of any rotating machine. Early fault detection in machineries can save millions of dollars in emergency maintenance cost. Different techniques are used for fault analysis such as short time Fourier transforms (STFT), Wavelet analysis (WA),cestrum analysis, Model based analysis, etc. This Paper explains the procedure for detecting bearing faults using FFT and by using Wavelet analysis more specifically HAAR wavelet up to two levels of approximations and detail components. The analysis is carried out offline in MATLAB.

Keywords

  • Fault diagnosis
  • bearings
  • wavelet Analysis methods
365-E10008

How to Cite

Copied

Milind Natu, "Bearing Fault Analysis Using Frequency Analysis and Wavelet Analysis," International Journal of Innovation, Management and Technology, vol. 4, no. 1, pp. 90-92, 2013. https://doi.org/10.7763/IJIMT.2013.V4.365

Copyright & License

Copyright © 2013 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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